1.1 Trace plots for convergence check

The current MCMC setting is:

• 100,000 iteration;
  
• 90,000 burn-in;
  
• 10 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.01       1.04
## LDevsum       1.04       1.13
## dh0           2.13       4.31
## dh1           2.85       4.86
## dh2           1.81       3.05
## dl0           1.45       2.10
## dl1           2.50       4.11
## dl2           1.17       1.47
## dl3           1.82       3.04
## 
## Multivariate psrf
## 
## 2.54

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

1.4 WAIC results

2.1 Trace plots for convergence check

The current MCMC setting is:

• 100,000 iteration;
  
• 90,000 burn-in;
  
• 10 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.01       1.03
## LDevsum       1.01       1.02
## dh0           7.61      14.54
## dh1           8.89      19.10
## dh2           3.34       7.49
## dl0           1.17       1.47
## dl1           1.18       1.47
## dl2           1.03       1.07
## dl3           1.14       1.37
## 
## Multivariate psrf
## 
## 8.35

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

2.4 WAIC results